Encora

Senior Data Engineer

Brazil

Pay: Pay not listed
Work setting: Not stated
Employment: Not stated

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What you’ll work on

Full posting

Design, build, and maintain scalable data pipelines using Airflow (MWAA), Python, AWS, Snowflake, and dbt.
Develop production-grade Python solutions for external API/SDK integrations, data processing, and custom pipeline orchestration.
Define data architecture and engineering standards while ensuring data quality, governance, monitoring, reliability, and access control.

From the employer’s posting

Key Responsibilities Design, build, and maintain scalable data pipelines using Airflow (MWAA), Python, AWS, Snowflake, and dbt. Develop production-grade Python solutions for external API/SDK integrations, data processing, and custom pipeline orchestration.

Design, build, and maintain scalable data pipelines using Airflow (MWAA), Python, AWS, Snowflake, and dbt. Develop production-grade Python solutions for external API/SDK integrations, data processing, and custom pipeline orchestration. Define data architecture and engineering standards while ensuring data quality, governance, monitoring, reliability, and access control.

Develop production-grade Python solutions for external API/SDK integrations, data processing, and custom pipeline orchestration. Define data architecture and engineering standards while ensuring data quality, governance, monitoring, reliability, and access control. Manage infrastructure and CI/CD processes while optimizing cost and performance across Snowflake, AWS, and Spark environments.

What you’ll bring

All qualifications

Preferred experience

Experience with Apache Spark and PySpark.
Familiarity with Agentic AI, LLMs, and AWS Bedrock.
Knowledge of AWS services such as Glue, Athena, Secrets Manager, SNS, VPC, EC2, and AppFlow.
Experience with InfluxDB and OpenSearch.

Qualification wording

Experience with Apache Spark and PySpark.

Familiarity with Agentic AI, LLMs, and AWS Bedrock.

Knowledge of AWS services such as Glue, Athena, Secrets Manager, SNS, VPC, EC2, and AppFlow.

Experience with InfluxDB and OpenSearch.

Tools in this posting

Python
SQL
AWS
Azure
dbt
Docker
Grafana
S3
Snowflake
Spark
Terraform
Airflow
PySpark
Great Expectations

Source

Job Title: Senior Data Engineer Key Skills: Python, Snowflake, AWS, dbt, Airflow, T-SQL, Terraform, Data Modeling, Data Governance, CI/CD Experience: 5–7 YOE Location: Brazil Mode: Remote We at Coforge are hiring Senior Data Engineer (#20321-6-1) with the following skill set.

Key Responsibilities - Design, build, and maintain scalable data pipelines using Airflow (MWAA), Python, AWS, Snowflake, and dbt. - Develop production-grade Python solutions for external API/SDK integrations, data processing, and custom pipeline orchestration.

- Design, build, and maintain scalable data pipelines using Airflow (MWAA), Python, AWS, Snowflake, and dbt. - Develop production-grade Python solutions for external API/SDK integrations, data processing, and custom pipeline orchestration. - Define data architecture and engineering standards while ensuring data quality, governance, monitoring, reliability, and access control.

- 5–7 years of experience in Data Engineering, including production environments. - Advanced Python 3.x skills, including production applications, API/SDK integrations, error handling, testing, and maintainable code. - Hands-on experience with Snowflake and dbt; Snowflake experience is mandatory.

- Hands-on experience with Snowflake and dbt; Snowflake experience is mandatory. - Advanced T-SQL skills, including query tuning. - Strong AWS experience, particularly with S3, Lambda, EMR, and ECS.

- Define data architecture and engineering standards while ensuring data quality, governance, monitoring, reliability, and access control. - Manage infrastructure and CI/CD processes while optimizing cost and performance across Snowflake, AWS, and Spark environments. Required Skills & Qualifications

- Advanced T-SQL skills, including query tuning. - Strong AWS experience, particularly with S3, Lambda, EMR, and ECS. - Experience with Airflow and scalable data pipeline orchestration.

- Experience with Apache Spark and PySpark. - Familiarity with Agentic AI, LLMs, and AWS Bedrock. - Knowledge of AWS services such as Glue, Athena, Secrets Manager, SNS, VPC, EC2, and AppFlow.

- Familiarity with Agentic AI, LLMs, and AWS Bedrock. - Knowledge of AWS services such as Glue, Athena, Secrets Manager, SNS, VPC, EC2, and AppFlow. - Experience with InfluxDB and OpenSearch.

- Experience with Great Expectations or Elementary. - Familiarity with Azure DevOps. - Knowledge of FinOps and cloud cost optimization.

- Advanced Python 3.x skills, including production applications, API/SDK integrations, error handling, testing, and maintainable code. - Hands-on experience with Snowflake and dbt; Snowflake experience is mandatory. - Advanced T-SQL skills, including query tuning.

- Experience with Terraform or equivalent Infrastructure as Code (IaC) tools. - Familiarity with Docker and continuous delivery practices. - Knowledge of Data Modeling and Data Governance.

- Knowledge of Data Modeling and Data Governance. - Experience with monitoring and observability tools such as Grafana and CloudWatch. Preferred Skills:

Preferred Skills: - Experience with Apache Spark and PySpark. - Familiarity with Agentic AI, LLMs, and AWS Bedrock.

- Experience with Airflow and scalable data pipeline orchestration. - Experience with Terraform or equivalent Infrastructure as Code (IaC) tools. - Familiarity with Docker and continuous delivery practices.

- Strong AWS experience, particularly with S3, Lambda, EMR, and ECS. - Experience with Airflow and scalable data pipeline orchestration. - Experience with Terraform or equivalent Infrastructure as Code (IaC) tools.

- Familiarity with Collibra Connect and Guidewire Data Hub. - Experience with Great Expectations or Elementary. - Familiarity with Azure DevOps.

Posting record

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Likely evergreenReposted 2 times since May 14, 2026. A role that keeps coming back is often kept open to collect applications rather than to fill one seat.

Status in our records: Live
First seen by us: Oct 21, 2026 · today
Recorded sightings: 1
Reposted: 2 times since May 14, 2026

These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications. We count a repost when the same title and location comes back as a new listing within 60 days of the last one coming down. Some hiring systems expire listings on a schedule, so repost rates vary by system.

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Job description

View original posting ↗

Job Title: Senior Data Engineer
Key Skills: Python, Snowflake, AWS, dbt, Airflow, T-SQL, Terraform, Data Modeling, Data Governance, CI/CD
Experience: 5–7 YOE
Location: Brazil
Mode: Remote

We at Coforge are hiring Senior Data Engineer (#20321-6-1) with the following skill set.

Key Responsibilities

Design, build, and maintain scalable data pipelines using Airflow (MWAA), Python, AWS, Snowflake, and dbt.
Develop production-grade Python solutions for external API/SDK integrations, data processing, and custom pipeline orchestration.
Define data architecture and engineering standards while ensuring data quality, governance, monitoring, reliability, and access control.
Manage infrastructure and CI/CD processes while optimizing cost and performance across Snowflake, AWS, and Spark environments.

Required Skills & Qualifications

5–7 years of experience in Data Engineering, including production environments.
Advanced Python 3.x skills, including production applications, API/SDK integrations, error handling, testing, and maintainable code.
Hands-on experience with Snowflake and dbt; Snowflake experience is mandatory.
Advanced T-SQL skills, including query tuning.
Strong AWS experience, particularly with S3, Lambda, EMR, and ECS.
Experience with Airflow and scalable data pipeline orchestration.
Experience with Terraform or equivalent Infrastructure as Code (IaC) tools.
Familiarity with Docker and continuous delivery practices.
Knowledge of Data Modeling and Data Governance.
Experience with monitoring and observability tools such as Grafana and CloudWatch.

Preferred Skills:

Experience with Apache Spark and PySpark.
Familiarity with Agentic AI, LLMs, and AWS Bedrock.
Knowledge of AWS services such as Glue, Athena, Secrets Manager, SNS, VPC, EC2, and AppFlow.
Experience with InfluxDB and OpenSearch.
Familiarity with Collibra Connect and Guidewire Data Hub.
Experience with Great Expectations or Elementary.
Familiarity with Azure DevOps.
Knowledge of FinOps and cloud cost optimization.

Posted On: 21-10-2026

At Coforge, we hire professionals based solely on their skills and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.

Source details

View original posting ↗

Source notes

Source excerpts

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Pay: No pay amount identified in the saved description.
Location & working pattern: Brazil
Job Title: Senior Data Engineer Key Skills: Python, Snowflake, AWS, dbt, Airflow, T-SQL, Terraform, Data Modeling, Data Governance, CI/CD Experience: 5–7 YOE Location: Brazil Mode: Remote We at Coforge are hiring Senior Data Engineer (#20321-6-1) with the following skill set.
Work authorization: No clear work-authorization passage found. Eligibility is unconfirmed.

Open source at job-boards.greenhouse.io ↗Read the full description ↓

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